Wavelet-FFT Filter Applied to Non Uniformity Correction in Infrared Imaging System
In this paper, we use the recently presented wavelet-FFT filter  to reduce the nonuniformity noise that affect almost all infrared imaging systems. The wavelet-FFT filter was originally developed to compensate the one-dimensional noise known as stripping noise. We perform an extension of this methodology in order to compensate the two-dimensional noise that degrades infrared imagery. The principal hypothesis of this work is that the two-dimensional focal-plane array can be considered as the composition of vertical and horizontal one-dimensional array sensors. Under this assumption we use a specific design of the wavelet filter to synthesize a replica of the two-dimensional noise and then recover the real incident radiation. The method is evaluated using real mid- and long-wave infrared data from two cameras. The results show the promising performance of the wavelet-FFT filter when is applied in infrared imaging system such as self heating effect.
KeywordsKalman Filter Statistical Algorithm Infrared Image System Readout Data Virtual Array
- 4.Zhang, Z., Shi, Z., Guo, W., Huang, S.: Adaptively Image De-striping through Frequency Filtering. In: ICO20: Opt. Inf. Proc., Proc. SPIE 6027, p. 60273V (2006)Google Scholar
- 5.Wang, Z., Fu, Y.: Frequency-domain Regularized Deconvolution for Images with Stripe Noise. In: ICIG Proc. 4th Intl Conf. Image and Graphics, pp. 110–115 (2007)Google Scholar
- 6.Godoy, S., Torres, S., Pezoa, J., Hayat, M., Wang, Q.: Nonuniformity correction algorithm based on a noise-cancellation system for infrared focal-plane arrays. In: Proc. SPIE, vol. 6542 (2007) 65423SGoogle Scholar
- 7.Torres, S., Pezoa, J., Hayat, M.: Scene-based Nonuniformity Correction for Focal Plane Arrays Using the Method of the Inverse Covariance Form. OSA App. Opt. Inf. Proc. 42, 5872–5881 (2003)Google Scholar